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Record W7071879168

Tumeric or curcumin and the treatment of knee osteoarthritis: A systematic review and meta-analysis of randomized controlled trials

2021· dissertation· en· W7071879168 on OpenAlexaboutno aff

Bibliographic record

VenueDuo Research Archive (University of Oslo) · 2021
Typedissertation
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicCurcumin's Biomedical Applications
Canadian institutionsnot available
Fundersnot available
KeywordsRandomized controlled trialOsteoarthritisCurcuminWOMACVisual analogue scaleMEDLINESystematic reviewClinical trial
DOInot available

Abstract

fetched live from OpenAlex

Background: The prevalence of knee osteoarthritis (OA) is on the rise globally. This is partly due to the increase in proportion of people aged 60 years and older worldwide. Many of the current therapeutic options for the management of knee OA used in conventional medical practice have undesirable side effects which has led researchers to consider effective and safer alternatives. Curcumin, an herbal medicinal extract from the rhizome – turmeric has a favorable safety profile, and research evidence suggests that it is a viable option for the treatment of knee OA.\n\nObjective: The objective of this systematic review and meta-analysis was to summarize and critically evaluate the published evidence from randomized controlled trials (RCTs) on the efficacy of curcumin in treating knee OA. \n\nMethods: PubMed and Embase were searched for relevant RCTs published up until April 8, 2020. All RCTs that investigated the efficacy or effectiveness of curcumin in treating knee OA were included. Heterogeneity was assessed using I2 statistics, and the random effects models were selected to calculate weighted mean differences (WMD) and mean change differences (MCD) for the outcome measures – visual analog scale (VAS) and Western Ontario and McMaster Osteoarthritis Index (WOMAC) scores.\n\nResults: Ten RCTs (n = 1272) were included in the meta-analysis. Curcumin significantly reduced pain (WMD for VAS (n = 3): -16.76 (-25.41, -8.11), I2 = 87.6%, Pheterogeneity = <0.001) and improved physical function (WMD for WOMAC physical function (n = 3): -8.63 (-10.17, -7.09), I2 = 0.0%, Pheterogeneity = 0.443) when compared with placebo. There was no difference in physical function (WMD for WOMAC physical function (n = 1): 0.15 (-0.30, 0.60), I2 = 0.0%, Pheterogeneity = .) when compared to ibuprofen or pain reduction (WMD for VAS (n=1): 0.00 (-0.24, 0.24), I2 = 0.0%, Pheterogeneity = .) when compared to diclofenac. Furthermore, sub-group analysis showed that difference in curcumin dosage (stronger association in doses >1000 mg/d) and type of control (RCTs with curcumin vs. active medication reported effect estimates closer to the null value) contributed significantly to the heterogeneity between the studies. Lastly, the incidence of adverse events was similar between curcumin and placebo but lower in the curcumin group when compared with active controls. \n\nConclusion: The findings from this review suggests that curcumin is a safe and effective option for treating the symptoms of knee OA. However, the number of RCTs included in the analysis along with their overall quality and the total sample size was not sufficient to draw firm conclusions. Further high quality RCTs with large sample sizes should be conducted in order to provide definitive evidence that allow the adoption of curcumin as a treatment for knee OA in clinical practice.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.327
Threshold uncertainty score0.616

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0090.003
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.043
GPT teacher head0.334
Teacher spread0.291 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designMeta-analysis
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2021
Admission routes1
Has abstractyes

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